Resume example · Data
Machine Learning Engineer resume example
The role sits between research and platform. A resume has to make clear which side you lean, because hiring managers are recruiting for one or the other.
What we would lead with
- Systems you built for training or serving, with latency and cost figures
- Models that reached users
- Whether you can debug a production regression, not only train a model
The mistake we would warn you about
Blurring the line between research and engineering. Say plainly which you did; a vague resume is read as the weaker of the two.
Bullet points that work for machine learning engineers
Each one opens with an action verb, says what was done, and ends with a result.
- Cut model serving p99 from 240ms to 45ms by batching requests and moving inference to ONNX.
- Built the training platform that took a new model from notebook to production in 3 days instead of 6 weeks.
- Halved GPU spend by scheduling training on spot capacity with automatic checkpoint recovery.
- Caught a silent feature-skew regression that had cost 4% of conversion for a month.
Skills to list as a machine learning engineer
ML
PyTorchFeature engineeringModel evaluation
Serving
TritonKubernetesONNXLatency profiling
Data
SparkFeature storesVector databases